A Multi-modal Males Face Database and Application in Research
Pages 195 - 198
Abstract
This paper presents a face database composed mainly from male faces and testing of some image processing algorithms on the database. The face database takes into account the variation in illumination conditions and beard style which include mustache, beard and face without beard. The database could provide with training and test set to researches related to face recognition and occlusion detection or removing algorithms. Using the database as test set and training set, feature points detection algorithm based on traditional AAM model was tested and similarity of bearded face and normal face images were checked using Perceptual Hashing algorithm to evaluate effectiveness of those algorithms with our database.
References
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Zhang Xiaohua, Shan Shiguang, Cao Bo. 2005.CAS-PEAL: A Large-Scale Chinese Face Database and Some Primary Evaluations. Journal Of Computer-Aided Design & Computer Graphics, 17(1):9–17. https://doi.org/10.1016/j.molcatb.2005.02.001
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Published In
October 2021
393 pages
ISBN:9781450390439
DOI:10.1145/3497623
Copyright © 2021 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 04 February 2022
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- Research-article
- Research
- Refereed limited
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ICCPR '21
ICCPR '21: 2021 10th International Conference on Computing and Pattern Recognition
October 15 - 17, 2021
Shanghai, China
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